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Inventory Control Research: A Survey

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  • T. M. Whitin

    (School of Industrial Management, Massachusetts Institute of Technology)

Abstract

In past decades there have been occasional upsurges of intensive interest in inventory control problems, sometimes in the aftermath of forced inventory liquidation. For the most part, the literature consisted of a few articles in business journals that had but little impact on the current business behavior of the time. In the last few years we have witnessed another upsurge of interest which far surpasses any of its predecessors, with respect to the quantity and quality of the work accomplished as well as its overall impact on the business community. This vigorous research and the interest it has aroused have been made possible by parallel development in research and in business. Statisticians and economists have become interested in industrial problems concomitantly with the increased attention in business to techniques of advanced management. The appearance of this journal is an example of this harmony of interests that has come into being. The fact that modern statistical methods have been applied successfully in several instances has had much influence on the interest level of both research workers and industrialists.

Suggested Citation

  • T. M. Whitin, 1954. "Inventory Control Research: A Survey," Management Science, INFORMS, vol. 1(1), pages 32-40, October.
    • Handle: RePEc:inm:ormnsc:v:1:y:1954:i:1:p:32-40
    DOI: 10.1287/mnsc.1.1.32
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    Cited by:

    1. P K Tripathy & W-M Wee & P R Majhi, 2003. "An EOQ model with process reliability considerations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 549-554, May.
    2. Sandun C. Perera & Suresh P. Sethi, 2023. "A survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)‐type policies—Continuous‐time case," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 154-169, January.
    3. Mohammad Ebrahim Arbabian & Hossein Rikhtehgar Berenji, 2023. "Inventory systems with uncertain supplier capacity: an application to covid-19 testing," Operations Management Research, Springer, vol. 16(1), pages 324-344, March.
    4. Roy, T.K. & Maiti, M., 1997. "A fuzzy EOQ model with demand-dependent unit cost under limited storage capacity," European Journal of Operational Research, Elsevier, vol. 99(2), pages 425-432, June.
    5. Leung, Kit-Nam Francis, 2007. "A generalized geometric-programming solution to "An economic production quantity model with flexibility and reliability considerations"," European Journal of Operational Research, Elsevier, vol. 176(1), pages 240-251, January.
    6. Sandun C. Perera & Suresh P. Sethi, 2023. "A survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)‐type policies—Discrete‐time case," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 131-153, January.
    7. Girlich, Hans-Joachim & Chikan, Attila, 2001. "The origins of dynamic inventory modelling under uncertainty: (the men, their work and connection with the Stanford Studies)," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 351-363, May.
    8. Pal, Brojeswar & Sana, Shib Sankar & Chaudhuri, Kripasindhu, 2014. "Joint pricing and ordering policy for two echelon imperfect production inventory model with two cycles," International Journal of Production Economics, Elsevier, vol. 155(C), pages 229-238.

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